Noncontact visualization of multiscale defects in CFRP composites using eddy current testing with T-R probe

IF 4.1 2区材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Ndt & E International Pub Date : 2024-05-11 DOI:10.1016/j.ndteint.2024.103138

Jun Cheng , Yulong Zhu , Buyun Wang , Mengmeng Liu , Dezhang Xu , Jinhao Qiu , Toshiyuki Takagi

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引用次数: 0

Abstract

Carbon fiber reinforced polymer (CFRP) is widely used in modern industries, and damages may occur from manufacturing to utilization, highlighting the importance of CFRP detection. As being a multi-phase structural material, the CFRP's mesostructural features contained in eddy current signals can obscure macroscopic defect characteristics. Phase rotation is a common method for eddy current signal processing, but the specific criteria for evaluation of processing effect are lacking. This paper proposes three reliable criteria for assessment of the phase rotation processing effects of Transmitter-Receiver (T-R) probe signals, namely: signal overlap ratio (SOR), signal-to-noise ratio (SNR), and image average gradient (IAG). To begin, the SOR serves as a crucial indicator for assessing signal similarity and the degree of overlap, with a low SOR indicating the method's effectiveness in distinguishing defect characteristics. Subsequently, by comparing the SNRs of images, the clarity of defects under different rotation angles can be effectively quantified. Finally, a novel criterion, i.e. the IAG, is introduced. What distinguishes this criterion is its higher degree of automation, facilitating a comprehensive evaluation of processing effects without excessive subjective intervention. After analyzing these criteria, it is clear that the IAG criterion excels in automation and objectivity for evaluating eddy current signal processing effects.

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利用 T-R 探头进行涡流测试，对 CFRP 复合材料中的多尺度缺陷进行非接触式可视化分析

碳纤维增强聚合物（CFRP）在现代工业中应用广泛，从生产到使用过程中都可能出现损坏，这就凸显了 CFRP 检测的重要性。作为一种多相结构材料，涡流信号中包含的 CFRP 中观结构特征可能会掩盖宏观缺陷特征。相位旋转是一种常用的涡流信号处理方法，但目前还缺乏具体的处理效果评估标准。本文提出了评估发射器-接收器（T-R）探头信号相位旋转处理效果的三个可靠标准，即信号重叠率（SOR）、信噪比（SNR）和图像平均梯度（IAG）。首先，信号重叠率是评估信号相似性和重叠程度的重要指标，信号重叠率越低，表明该方法在区分缺陷特征方面越有效。随后，通过比较图像的信噪比，可以有效量化不同旋转角度下的缺陷清晰度。最后，引入了一个新标准，即 IAG。该标准的与众不同之处在于其自动化程度较高，便于对处理效果进行全面评估，而无需过多的主观干预。在对这些标准进行分析后，IAG 标准显然在评估涡流信号处理效果的自动化和客观性方面更胜一筹。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ndt & E International 工程技术-材料科学：表征与测试

CiteScore

7.20

自引率

9.50%

发文量

121

审稿时长

55 days

期刊介绍： NDT&E international publishes peer-reviewed results of original research and development in all categories of the fields of nondestructive testing and evaluation including ultrasonics, electromagnetics, radiography, optical and thermal methods. In addition to traditional NDE topics, the emerging technology area of inspection of civil structures and materials is also emphasized. The journal publishes original papers on research and development of new inspection techniques and methods, as well as on novel and innovative applications of established methods. Papers on NDE sensors and their applications both for inspection and process control, as well as papers describing novel NDE systems for structural health monitoring and their performance in industrial settings are also considered. Other regular features include international news, new equipment and a calendar of forthcoming worldwide meetings. This journal is listed in Current Contents.